.NET Tips and Tricks

Blog archive

Seeing Your Code Even When IntelliSense Hides It

Sometimes when I'm typing in parameters I get both an IntelliSense drop down list of helpful suggestions and the tip on what this parameter should be. I'm not denying that's tremendously helpful, but sometimes these hints completely cover up my actual code -- and I need to see my code!

If you've been using the Escape key to dismiss these text blocks to get back to your code, there's a better solution (especially if you, in fact, want those tips back later to figure out what to do): Just press the Ctrl key. With the Ctrl key pressed, all the "helpfulness" blocks become transparent, letting you see your code. Release the Ctrl key and the "helpfulness" comes back.

Posted by Peter Vogel on 04/30/2012 at 1:16 PM


comments powered by Disqus

Featured

  • What's New in Visual Studio 2019 v16.5 Preview 2

    The second preview of Visual Studio 2019 v16.5 has arrived with improvements across the flagship IDE, including the core experience and different development areas such as C++, Python, web, mobile and so on.

  • C# Shows Strong in Tech Skills Reports

    Microsoft's C# programming language continues to show strong in tech industry skills reports, with the most recent examples coming from a skills testing company and a training company.

  • Color Shards

    Sharing Data and Splitting Components in Blazor

    ASP.NET Core Version 3.1 has at least two major changes that you'll want to take advantage of. Well, Peter thinks you will. Depending on your background, your response to one of them may be a resounding “meh.”

  • Architecture Small Graphic

    Microsoft Ships Preview SDK, Guidance for New Dual-Screen Mobile Era

    Microsoft announced a new SDK and developer guidance for dealing with the new dual-screen mobile era, ushered in by the advent of ultra-portable devices such as the Surface Duo.

  • How to Create a Machine Learning Decision Tree Classifier Using C#

    After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now shows how to use the splitting and disorder code to create a working decision tree classifier.

.NET Insight

Sign up for our newsletter.

Terms and Privacy Policy consent

I agree to this site's Privacy Policy.

Upcoming Events